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1081
Comparison of Geographical Traceability of Wild and Cultivated Macrohyporia cocos with Different Data Fusion Approaches
Published 2021-01-01“…This study proved that both geographical traceability and optimal identification methods of cultivated and wild samples were different, and data fusion was a potential technique in the geographical identification.…”
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1082
Development of data driven models to accurately estimate density of fatty acid ethyl esters
Published 2025-08-01“…Experimental data reported in earlier publications were employed to develop the models. …”
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1083
ANALISIS STRUKTUR EKSPERIENSIAL PADA TERJEMAHAN UNSUR POST-MODIFIER DALAM KELOMPOK NOMINA DAN DAMPAKNYA TERHADAP KUALITAS TERJEMAHAN DALAM BUKU TO BEE OR NOT TO BEE KARYA JOHN PENB...
Published 2018-11-01“…This research aims to determine the forms of post-modifier on nominal group, the use of translation technique, and the impact of the translation technique to the translation quality in the book To Bee or Not to Bee. …”
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1084
Leveraging data analytics for detection and impact evaluation of fake news and deepfakes in social networks
Published 2025-07-01“…Building on this literature research, this paper aims to analyse how fake news can be identified using machine learning models, and understand how data analytics can be leveraged to evaluate the impact of such fake news on public behaviour and trust. …”
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1085
Efficacy and manner of execution of the serve in top-level women's beach volleyball players
Published 2020-05-01“…A descriptive and inferential analysis of the data (Chi-Square Test) was done using SPSS v.21.0 software. …”
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1086
In vitro apical pressure created by 2 irrigation needles and a multisonic system in mandibular molars
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1087
Translation Ideology: An Analysis of Cultural Words in “Educated” Memoir by Tara Westover
Published 2024-12-01“… This study aims to describe translation ideology in translating cultural words of the “Educated” memoir by Tara Westover. …”
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1088
Delays in diagnosis and treatment of ATTR cardiac amyloidosis: A real‐world data analysis
Published 2025-08-01“…Abstract Aims and Background Cardiac amyloidosis leads to functional cardiac impairment and heart failure. …”
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1089
Machine learning applied to wearable fitness tracker data and the risk of hospitalizations and cardiovascular events
Published 2025-06-01“…Machine learning (ML) techniques applied to these data may enable early identification of adverse health conditions, such as hospitalizations and development of cardiovascular diseases (CVD). …”
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1090
Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey
Published 2024-12-01“…Additionally, it identifies key challenges to advancing remanufacturing practices through data-driven and ML methods and uncovers research opportunities in synergy with smart manufacturing techniques. …”
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1091
Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive Review
Published 2023-12-01“…Using multiple WBAN techniques, we aim to identify which techniques are giving better results in data transmission, storing, and maintaining patient data privacy and also identify the best performance using multiple techniques based on the two most important parameters such as ‘throughput’, and ‘delay’. …”
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1092
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1093
Predictive Modeling of Water Level in the San Juan River Using Hybrid Neural Networks Integrated with Kalman Smoothing Methods
Published 2024-11-01“…The models were trained using historical data, and various smoothing techniques were applied to optimize data quality and reduce noise. …”
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1094
EVALUATION OF THE ACCURACY OF COMPUTER MEASUREMENT OF A PHOTOGRAMMETRIC MODEL OF THE JAW
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1095
Referenceless 4D flow cardiovascular magnetic resonance with deep learning
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1096
Primary beam calibration for commensal telescopes utilizing offset optics
Published 2024-12-01“…The VLA Low-band Ionosphere and Transient Experiment (VLITE) faces challenges in calibration due to the offset Cassegrain optics used in its commensal observing system. This study aims to develop a novel calibration method to improve accuracy with no impact on the Very Large Array (VLA) primary science observations.MethodsWe used the apparent brightness of standard candles identified in VLITE’s commensal data to develop 1D and 2D primary beam response models. …”
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1097
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1098
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1099
Predicting Travel Insurance Purchases in an Insurance Firm through Machine Learning Methods after COVID-19
Published 2023-09-01“…By employing advanced machine learning techniques, this study aims to forecast the consumer segments most inclined to acquire travel insurance, allowing targeted strategies to be developed. …”
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1100
Wright Map Analysis to Determine Nurses and Midwives’ Knowledge of Treatment of Primary Postpartum Haemorrhage in Nigeria
Published 2025-03-01“…Ethical approval was provided by the University of Huddersfield and the nurses’ association. After eight weeks of data collection, both descriptive and inferential analyses were conducted using a Wright map. …”
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